Probability Maps of Potential Recurrence of Glioblastoma Tumors

Left panel presents an estimated map for tumor infiltration from pre-operative MRI analysis; yellow arrow points to a regions estimated to be relatively more infiltrated. Right panel represents the corresponding MR images after tumor resection and subsequent recurrence (red arrow) for the same patient. Recurrence occurred in the vicinity of peritumoral tissue originally estimated to be highly infiltrated.

In this study, we investigated the application of in-vivo MP-MRI phenomic signatures leveraging ML and the CaPTk software suite for prediction of PFS and RP in patients with GBM who received standard of care therapy, aiming to offer advanced imaging-based biomarkers for clinical decision making and personalized treatment planning. We showed that predictive radiomic models can be used to help in upfront decision making, on a patient-specific basis. The following image, indicates examples of different schemes of PFS and recurrence pattern with possible personalized treatment strategies: the first and second columns indicate the baseline and recurrence scans for each example, the radiomic finding for each example is displayed in the third column, and the fourth column shows the suggested personalized therapy plan for each example.